Evidence map›Paper›PMID 39548715›Full record

ArticleLiver international : official journal of the International Association for the Study of the Liver2025

Impact of Metabolic Syndrome Traits on Kidney Disease Risk in Individuals with MASLD: A UK Biobank Study.

Josh Bilson, Theresa J Hydes, Declan McDonnell, Ryan M Buchanan, Eleonora Scorletti, Alessandro Mantovani, Giovanni Targher, Christopher D Byrne

Abstract read
In one paragraph

Article in Liver international : official journal of the International Association for the Study of the Liver, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Lifestyle and Environment Aspects Challenging Kidney Health.Kidney & blood pressure research · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Josh BilsonSchool of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0003-4665-3886
Theresa J HydesDepartment of Cardiovascular and Metabolic Medicine, 3rd Floor Clinical Sciences Centre, Institute of Life Course and Medical Sciences, Liverpool University Hospitals NHS Foundation Trust, University of Liverpool, Longmoor Lane, Liverpool, UK.ORCID 0000-0002-7768-6886
Declan McDonnellSchool of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0001-9088-9875
Ryan M BuchananPrimary Care and Population Sciences Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0003-0850-5575
Eleonora ScorlettiSchool of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-7547-146X
Alessandro MantovaniSection of Endocrinology, Diabetes and Metabolism, Department of Medicine, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy.ORCID 0000-0002-7271-6329
Giovanni TargherMetabolic Diseases Research Unit, IRCCS Sacro Cuore-Don Calabria Hospital, Negrar di Valpolicella, Italy.ORCID 0000-0002-4325-3900
Christopher D ByrneSchool of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0001-6322-7753

Funding

National Institute for Health Research Southampton Biomedical Research CentreParnell Diabetes TrustUniversità degli Studi di VeronaUniversity Hospital Southampton Charity
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe impact of metabolic syndrome (MetS) traits on chronic kidney disease (CKD) risk in metabolic dysfunction-associated steatotic liver disease (MASLD) is unknown. We investigated the impact of type and number of MetS traits and liver fibrosis on prevalent CKD and incident end-stage renal disease (ESRD) risk in SLD.

methods234 488 UK Biobank participants' were analysed. Hepatic steatosis index (> 36 for SLD, < 30 for no SLD) and MRI-proton density fat fraction (≥ 5.56%) were used to identify SLD. MetS traits were identified using MASLD criteria. Advanced fibrosis (FIB-4 score > 2.67) was determined using FIB-4 scores. eGFR < 60 mL/min/1.73 m

results102 410 participants (41.2%) had SLD. 64.4% had MetS. 1.3% had FIB-4 score > 2.67. With SLD and only one MetS trait, hypertension (OR 1.35, 95% CI 1.35-1.72) or type 2 diabetes (T2D) (OR 1.89, 95% CI 1.06-3.38) increased risk of prevalent CKD. MetS (≥ 3 traits) increased prevalent CKD risk (OR 1.94, 95% CI 1.75-2.15), which was further increased by advanced liver fibrosis (OR 4.29, 95% CI 3.36-5.47). CKD prevalence increased with increasing MetS traits. Over 13.6 years (median follow-up), MetS was associated with increased risk of developing ESRD (HR 1.70, 95% CI 1.19-2.43).

conclusionsIn MASLD, hypertension, and T2D, number of MetS traits and liver fibrosis increased risk of prevalent CKD and presence of MetS increased the risk of incident ESRD.

Indexed as

Fatty LiverKidney Failure, ChronicLiver CirrhosisMetabolic SyndromeRenal Insufficiency, ChronicAdultAgedBiological Specimen BanksFemaleHumansIncidenceLogistic ModelsMaleMiddle AgedPrevalenceProportional Hazards Modelsend‐stage renal diseasehypertensionmetabolic dysfunction‐associated steatotic liver diseasetype 2 diabetes

Identifiers

PMID39548715
PMCPMC11897864

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.